Fill-Mask
Transformers
Safetensors
English
theo_bert_base
masked-language-modeling
bible
theology
christianity
trust-remote-code
custom_code
Eval Results (legacy)
Instructions to use toranb/theo-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toranb/theo-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="toranb/theo-bert-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("toranb/theo-bert-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from .configuration_theo_bert_base import TheoBertBaseConfig | |
| from .modeling_theo_bert_base import ( | |
| TheoBertBaseForMaskedLM, | |
| TheoBertBaseModel, | |
| ) | |
| __all__ = [ | |
| "TheoBertBaseConfig", | |
| "TheoBertBaseModel", | |
| "TheoBertBaseForMaskedLM", | |
| ] | |